{"data":{"id":"10.6084/m9.figshare.5897581","type":"dois","attributes":{"doi":"10.6084/m9.figshare.5897581","prefix":"10.6084","suffix":"m9.figshare.5897581","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Miori, Virginia","nameType":"Personal","givenName":"Virginia","familyName":"Miori","affiliation":[],"nameIdentifiers":[]},{"name":"Nclement@Sju.Edu","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"NDVI and Statistical Data for Generating Homogeneous Land Use Recommendations"}],"publisher":"figshare","container":{},"publicationYear":2018,"subjects":[{"subject":"50302 Land Capability and Soil Degradation","subjectScheme":"FOR"},{"subject":"FOS: Agriculture, forestry and fisheries","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Agriculture, forestry and fisheries","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"50102 Ecosystem Function","subjectScheme":"FOR"},{"subject":"FOS: Earth and related environmental sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Earth and related environmental sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"50206 Environmental Monitoring","subjectScheme":"FOR"}],"contributors":[],"dates":[{"date":"2018-02-16","dateType":"Created"},{"date":"2018-02-16","dateType":"Updated"},{"date":"2018","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":["3588590 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Satellite imagery was collected over a sub-Saharan region of East Africa that includes five countries in their entirety (Kenya, Uganda, Tanzania, Burundi and Rwanda) and portions of seven countries (Somalia, Ethiopia, South Sudan, Democratic Republic of Congo, Malawi, Mozambique and Zimbabwe). The Normalized Difference Vegetation Index (NDVI) was augmented with p value and slope through regression analysis. This roughly ‘rectangular’ region extends from 27.8°E to 42.0°E longitude and 15.0°S to 6.2°N latitude. Also included in the region are several East African Great Lakes such as Lake Victoria, Lake Malawi and Lake Tanganyika. Vegetative analysis in this region is of interest for a variety of reasons, including the importance of the region for global biodiversity and the vulnerability of the region to climate change, deforestation of the Congo, urban development, civil conflict, and agricultural practices.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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","url":"https://figshare.com/articles/NDVI_and_Statistical_Data_for_Generating_Homogeneous_Land_Use_Recommendations/5897581","contentUrl":null,"metadataVersion":2,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"viewsOverTime":[],"downloadCount":0,"downloadsOverTime":[],"referenceCount":0,"citationCount":0,"citationsOverTime":[],"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2018-02-16T17:44:08.000Z","registered":"2018-02-16T17:44:08.000Z","published":"2018","updated":"2020-08-30T15:34:05.000Z"},"relationships":{"client":{"data":{"id":"figshare.ars","type":"clients"}},"provider":{"data":{"id":"otjm","type":"providers"}},"media":{"data":{"id":"10.6084/m9.figshare.5897581","type":"media"}},"references":{"data":[]},"citations":{"data":[]},"parts":{"data":[]},"partOf":{"data":[]},"versions":{"data":[]},"versionOf":{"data":[]}}}}